🐭 PostPose 🐭

A repository for analyzing outputs of DeepLabCut, a pose-estimation software. This repository utalizes DLC's API for pose-estimation, and then anlayzes these outputs based on common experiments utilized in neuroscience. Originally, this pipeline was developed for SLURM-based clusters. However, the core code and scripts are meant to be run locally.

⚠️ Warning: This code is still under development. ⚠️

Please kindly ignore any issues with code as well as any missing citations to others code.

Examples

One can build an experimental arena in order to track specific regions of interest.

DLC-derived tracking data is then parsed in order to analyze various metrics in regions of interest.

References

Portions of this library utalize code from (or are inspired by) the following references:

• Pose-Estimation: Mathis, A., Mamidanna, P., Cury, K. M., Abe, T., Murthy, V. N., Mathis, M. W., & Bethge, M. (2018). DeepLabCut: Markerless pose estimation of user-defined body parts with deep learning. Nature Neuroscience, 21(9), 1281-1289. https://doi.org/10.1038/s41593-018-0209-y

Contributions and citation

David James Estrin & Kenneth Wayne Johnson contributed equally on this project.

• Code: David James Estrin, Kenneth Wayne Johnson

• Data: Kenneth Wayne Johnson, David James Estrin